Skip to main content
SpringerLink
Log in

Case-Based Reasoning: Concepts, Features and Soft Computing

  • Published:
Applied Intelligence Aims and scope Submit manuscript

Abstract

Here we first describe the concepts, components and features of CBR. The feasibility and merits of using CBR for problem solving is then explained. This is followed by a description of the relevance of soft computing tools to CBR. In particular, some of the tasks in the four REs, namely Retrieve, Reuse, Revise and Retain, of the CBR cycle that have relevance as prospective candidates for soft computing applications are explained.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. A. Aamodt and E. Plaza, "Case-based reasoning: Foundational issues, methodological variations, and system approach," AI Communications, vol. 7, no. 1, pp. 39–59, 1994.

    Google Scholar 

  2. J.L. Kolodner, Case-Based Reasoning, Morgan Kaufmann: San Mateo, CA, 1993, pp. 27–28.

    Google Scholar 

  3. I. Watson, Applying Case-Based Reasoning: Techniques for Enterprise Systems, Morgan Kaufmann: San Francisco, CA, 1997.

    Google Scholar 

  4. L.A. Zadeh, "Soft computing and fuzzy logic," IEEE Software, pp. 48–56, 1994.

  5. Z. Pawlak, Rough Sets, Theoretical Aspects of Reasoning About Data, Kluwer Academic: Dordrecht, 1991.

    Google Scholar 

  6. S.K. Pal, L. Polkowski, and A. Skowron (Eds.), Rough-Neural Computing: Techniques for Computing with Words, Springer-Verlag: Berlin, 2004.

    Google Scholar 

  7. B.C. Jeng and T.P. Liang, "Fuzzy indexing and retrieval in casebased systems," Expert Systems with Applications, vol. 8, no. 1, pp. 135–142, 1995.

    Google Scholar 

  8. S.K. Pal and S.C.K. Shiu, Foundations of Soft Case-Based Reasoning, John Wiley: NY, 2004.

    Google Scholar 

  9. S.K. Pal and S. Mitra, Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing, John Wiley: NY, 1999.

    Google Scholar 

  10. S.K. Pal and A. Skowron (Eds.), Rough Fuzzy Hybridization: A New Trend in Decision Making, Springer-Verlag: Singapore, 1999.

    Google Scholar 

  11. S.K. Pal, T.S. Dillon, and D.S. Yeung (Eds.), Soft Computing in Case-Based Reasoning, Springer-Verlag: London, 2001.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computing, Hong Kong Polytechnic University, Hong Kong, P.R, China

    Simon C.K. Shiu

  2. Machine Intelligence Unit, Indian Statistical Institute, Calcutta, India

    Sankar K. Pal

Authors
  1. Simon C.K. Shiu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sankar K. Pal
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Shiu, S.C., Pal, S.K. Case-Based Reasoning: Concepts, Features and Soft Computing. Applied Intelligence 21, 233–238 (2004). https://doi.org/10.1023/B:APIN.0000043556.29968.81

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/B:APIN.0000043556.29968.81

Search

Navigation